Domain-specific models: when corporate AI needs its own language
Corporate systems require domain-specific language models for security, efficiency, and compliance with unique business processes.
INSIGHTS & PRACTICE
IQusion
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21 publications
Event-driven integration: Kafka or message queues for your business
Choosing between Apache Kafka and message queues for event-driven integration depends on scale, reliability, and cybersecurity requirements.
API Gateway with AI policies for microservice security
Integrating AI policies into API Gateways is critical for proactive microservice protection in 2027, countering cyber threats and AI-related risks.
AI security platform: protecting AI services from prompt injection and data leaks
Protecting AI services from prompt injection and data leaks in 2026 requires a comprehensive approach and integration with existing cybersecurity tools.
AI у master: data management and system integration
AI analytics is transforming master data management (MDM) in 2026, ensuring accuracy and efficiency in enterprise system integration.
AI drives compliance audit automation
AI-driven compliance is transforming ISO/IEC 27001 and SOC 2 audits by automating evidence collection and non-compliance detection.
RPA and low-code: synergy for complex BPM automation by 2026
By 2026, over 80% of large enterprises will leverage a combination of RPA and low-code platforms to optimize business processes. This approach accelerates development time and enhances automation efficiency.
DLP for AI Systems: The New Cybersecurity Reality of 2026
By 2026, over 70% of new AI systems will experience data breaches due to inadequate Data Loss Prevention (DLP) integration, necessitating a reevaluation of sensitive information protection in the age of artificial intelligence.
DLP strategies for corporate content protection in distributed work
The rise of hybrid and remote work models significantly complicates the task of protecting corporate content. By 2026, effective DLP strategies must adapt to these changes, focusing on preventative measures and automation.
AI-driven low-code accelerates BPM development by 2026
By 2026, over 75% of new enterprise applications are projected to be developed using low-code or no-code platforms. Integrating artificial intelligence into these platforms significantly speeds up the creation and optimization of BPM systems.
AI-driven data governance for system integration quality
By 2026, over 70% of successful digital transformation initiatives will rely on an effective Data Governance strategy integrated with artificial intelligence capabilities. This will enable addressing data quality issues critical for system integration. The increasing complexity of enterprise IT land
AI-powered API security for emerging threats
By 2026, 40% of web application attacks will leverage APIs as the primary vector, necessitating a reevaluation of security approaches in system integration. Artificial intelligence is becoming a key tool for detecting and preventing these threats.